Image-to-3D
Transformers
Safetensors
depth_anything_3
feature-extraction
depth-anything-3
depth-estimation
multi-view-geometry
custom_code
Instructions to use bigshanedogg/DA3-BASE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigshanedogg/DA3-BASE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bigshanedogg/DA3-BASE", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from bigshanedogg/DA3-BASE: direct link, hf CLI and curl.
- Browser
- Download file 1.64 kB
-
https://huggingface.co/bigshanedogg/DA3-BASE/resolve/main/config.json
- Command line
-
hf download hf://bigshanedogg/DA3-BASE/config.json
-
curl -L -o config.json https://huggingface.co/bigshanedogg/DA3-BASE/resolve/main/config.json
1.64 kB
| { | |
| "architectures": [ | |
| "DepthAnything3ForDepthEstimation" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_depth_anything_3.DepthAnything3Config", | |
| "AutoModel": "modeling_depth_anything_3.DepthAnything3ForDepthEstimation", | |
| "AutoModelForDepthEstimation": "modeling_depth_anything_3.DepthAnything3ForDepthEstimation" | |
| }, | |
| "da3_config": { | |
| "__object__": { | |
| "args": "as_params", | |
| "name": "DepthAnything3Net", | |
| "path": "depth_anything_3.model.da3" | |
| }, | |
| "cam_dec": { | |
| "__object__": { | |
| "args": "as_params", | |
| "name": "CameraDec", | |
| "path": "depth_anything_3.model.cam_dec" | |
| }, | |
| "dim_in": 1536 | |
| }, | |
| "cam_enc": { | |
| "__object__": { | |
| "args": "as_params", | |
| "name": "CameraEnc", | |
| "path": "depth_anything_3.model.cam_enc" | |
| }, | |
| "dim_out": 768 | |
| }, | |
| "head": { | |
| "__object__": { | |
| "args": "as_params", | |
| "name": "DualDPT", | |
| "path": "depth_anything_3.model.dualdpt" | |
| }, | |
| "dim_in": 1536, | |
| "features": 128, | |
| "out_channels": [ | |
| 96, | |
| 192, | |
| 384, | |
| 768 | |
| ], | |
| "output_dim": 2 | |
| }, | |
| "net": { | |
| "__object__": { | |
| "args": "as_params", | |
| "name": "DinoV2", | |
| "path": "depth_anything_3.model.dinov2.dinov2" | |
| }, | |
| "alt_start": 4, | |
| "cat_token": true, | |
| "name": "vitb", | |
| "out_layers": [ | |
| 5, | |
| 7, | |
| 9, | |
| 11 | |
| ], | |
| "qknorm_start": 4, | |
| "rope_start": 4 | |
| } | |
| }, | |
| "dtype": "float32", | |
| "model_name": "da3-base", | |
| "model_type": "depth_anything_3", | |
| "transformers_version": "5.20.2" | |
| } | |